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Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems

Authors: IDOWU Sunday

Publication Type: Journal article

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Abstract

In Information Security, intrusion detection is the act of detecting actions that attempt to compromise the confidentiality, integrity or availability of a resource. Data mining is the process of extracting useful and previously unnoticed models or patterns from large data stores. This work is focused on the characterization and trends of development in data mining techniques for intrusion detection systems. We present a comparative analysis of these techniques vis-Ã -vis their performance.

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IDOWU,S. . (0000). Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems, 0 (), 0-0.

IDOWU,S. . "Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems" 0, no (), (0000): 0-0.

IDOWU,S. and . (0000). Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems, 0 (), pp0-0.

IDOWUS, . Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems. 0000, 0 ():0-0.

IDOWU,Sunday , . "Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems", 0 . (0000) : 0-0.

I.Sunday , "Characterization and Trends of Development in Data Mining Techniques For Intrusion Detection Systems" vol.0, no., pp. 0-0, 0000.

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